Reducing the Clinical and Administrative Burden in Dentistry

Eighty percent of dental team members report experiencing burnout. Office managers juggle insurance verification, claims, scheduling, imaging, daily huddles, and patient communication, often without intelligent systems to reduce friction. Like early air traffic controllers managing complex skies without automation, dental teams are overloaded and mistakes become inevitable under pressure.

In this webinar, Dr. Scott Leune is joined by Mike Buckner, EVP of Revenue at Pearl, to explore how AI is serving as a co pilot inside modern dental practices. This session focuses on how AI-driven workflows improve diagnostic consistency, reduce human error, automate insurance verification, lower claim denials, streamline daily huddle preparation, and reclaim hours each month for your team.

After reviewing 18 to 20 radiographs, diagnostic fatigue increases, and studies show that a meaningful percentage of caries and periapical findings go undiagnosed in traditional workflows. Manual insurance verification alone can consume 15 to 30 minutes per patient, while chart reviews and claim rework add hours weekly. AI reduces repetitive administrative time to minutes, improves claim approval rates, enhances patient understanding through visual imaging support, and creates measurable operational gains, including over 40 hours per month reclaimed in some practices.

This is not a discussion about replacing people. It is about reducing workload, improving accuracy, and allowing your team to focus on the human decisions that matter most. If you want to simplify operations, automate intelligently, and help your team thrive instead of burn out, this session will show you what is possible.

What This Session Covers

• How AI improves diagnostic accuracy in radiographs
• Why humans miss findings and how AI supports consistency
• How automation reduces insurance verification time
• The impact of AI on claim submission and approval rates
• How AI supports smarter treatment planning and case acceptance
• What an AI driven daily huddle looks like
• How to reduce burnout without increasing headcount
• How AI integrates into existing practice management systems